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ICASSP
2011
IEEE
14 years 1 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
ICPR
2000
IEEE
15 years 2 months ago
Handwritten Character Segmentation Using Transformation-Based Learning
This paper presents a character segmentation algorithm for unconstrained cursive handwritten text. The transformation-based learning method and a simplified variation of it are us...
Ergina Kavallieratou, Efstathios Stamatatos, Nikos...
ACL
2009
14 years 7 months ago
Bypassed alignment graph for learning coordination in Japanese sentences
Past work on English coordination has focused on coordination scope disambiguation. In Japanese, detecting whether coordination exists in a sentence is also a problem, and the sta...
Hideharu Okuma, Kazuo Hara, Masashi Shimbo, Yuji M...
AAAI
2008
15 years 7 days ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley
ICCV
1999
IEEE
15 years 11 months ago
Learning-based Object Detection in Cardiac MR Images
An automated method for left ventricle detection in MR cardiac images is presented. Ventricle detection is the rst step in a fully automated segmentation system used to compute vo...
Nicolae Duta, Anil K. Jain, Marie-Pierre Dubuisson...